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Deep neural networks achieve state-of-the-art performance on many tasks, but require increasingly complex architectures and costly …

Processing visual data on mobile devices has many applications, e.g., emergency response and tracking. State-of-the-art computer vision …

Computer vision on low-power edge devices enables applications including search-and-rescue and security. State-of-the-art computer …

As we add more autonomous and semi-autonomous vehicles (AVs) to our roads, their effects on passenger and pedestrian safety are …

Context-based authentication is a method for transparently validating another device’s legitimacy to join a network based on …

In the blooming era of smart edge devices, surveillance cameras have been deployed in many locations. Surveillance cameras are most …

Most of the existing video storage systems rely on offline processing to support the feature-based indexing on video streams. The …

Deep neural networks (DNNs) are successful in many computer vision tasks. However, the most accurate DNNs require millions of …